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Pelatihan Pengelasan Pembuatan Alat Penuang Galon Dalam Meningkatkan Hard Skill Siswa Smk Satria Arman Faslih; St Nawal Jaya; Try Sugiyarto Soeparyanto; Ainussalbi Al Ikhsan; Jumadil Nangi; Aminur Aminur; Suharjito Suharjito; Andi Indarwangi; Arif Munandar; Oscar Ade Nur
Jurnal Pengabdian Masyarakat Ilmu Terapan Vol 5, No 1 (2023)
Publisher : Vokasi Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jpmit.v5i1.43155

Abstract

Bidang ekonomi kreatif yang dipilih dalam kegiatan KKN Tematik ini adalah bidang pengelasan logam dikarnakan pengelasan sangat berpotensi untuk dijadikan wirausaha kedepan yang sangat menguntungkan.maka dari itu dalam kegiatan KKN Tematik sebagai bentuk pemberdayaan siswa SMK SATRIA untuk meningkatkan keterampilan pengelasan sebagai sarana yang strategis dalam membuat produk kerajinan dari hasil keterampilan logam baerupa pembuatan alat penuang air galon.dalam kehidupan sehari hari manusia membutuhkan air putih sebanyak 8 liter air.maka dari itu banyak masyarakat yang membeli air galon.galon pada umumnya di tempatkan pada dispenser yang tingginya kurang lebih 90-100 cm.pengguna harus mengangkat galon yang beratnya kurang lebih 18 kg.pengangkatan galon seberat 18 kg ini dapat berpotensi menimbulkan cidera pada pinggang.maka dari itu kami merancang alat penuang air galon yang cukup sederhana dan pengguna tidak harus lagi mengangkat galon yang beratnya 18 kg.
Analysis of Behaviour of E-learning Users by Unified Teory of Acceptance and Use of Technology (UTAUT) ModelA Case Study of Vocational Education in Halu Oleo University Jaya, St. Nawal; Nur, Muh. Nadzirin Anshari; Faslih, Arman; Anshari Nur, Muh. Nadzirin
Jurnal Vokasi Indonesia Vol. 5, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

E-learning (EL) as a supporting tool in learning process has increasingly developed because the implementation of the tool will be helpful for both lecturers and students to be more interactive in delivering materials and to evaluate learning outcomes. Analysis of the user’s behavior was required to measure the success rate of the implementation of e-learning. One of the models used in the present study was Unified Theory of Acceptance and Use of Technology (UTAUT). The model was designed to explain the behavior of the users on the information technology. The main variable was behavioral intention with four elements namely performance expectancy, effort expectancy, social influence and facilitating conditions. Data were collected randomly from the students of vocational education, university of Halu Oleo by distributing questioners to the e- learner users. The data were then validated and analyzed using regression analysis. The results showed EL affected the behavioral intention, performance expectancy, effort expectancy, social influence and facilitating conditions.
Analisis Tuning Parameter PID Menggunakan Algoritma Genetika pada Pengontrolan Kecepatan Motor DC Achmad Nur Aliansyah; Nurhayati nurhayati; st Nawal Jaya`; Luther Pagiling; Wa Ode Siti Nur Alam; Muhammad Nadzirin Anshari Nur
Jurnal Teknologi Elektro Vol 21 No 2 (2022): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i02.P17

Abstract

Abstract— The DC motors often experiences rotational speed instability due to disturbance. To overcome this, PID control can be applied to stabilize the speed. PID control is a combination of proportional, integral, and derivative controls. To achieve good performance, it is necessary to tune these parameters using several methods, such as genetic algorithm. The genetic algorithm works by forming a population of individuals that potentially can produce optimal solutions judged by the fitness value. Several parameters are used in genetic algorithms such as population size, number of generations, crossover probability, and mutation probability. This study aims to analyze the genetic algorithm method for tuning PID control parameters in controlling the rotational speed of the DC motor. The results obtained genetic algorithm parameters with population size and the number of generations of 70, crossover probability of 0.9, mutation probability of 0.4 and a fitness value of 6.261e+18. PID parameters with value of Kp = 9.4429; Ki = 19.3255 and Kd = 0.45602 and system response with rise time value of 0.1212 s, settling time of 0.2562 s, overshoot of 0.0366% and steady-state error of 0.1739%. With these PID parameters, the DC motor can follow the setpoint at constant and changing load values.